Evaluating University Campus Traffic by Attribute Mathematical Recognition
The high traffic volume in Chinese universities brings issues including accessibility and safety, which requires careful evaluation of campus-traffic with a quantitative and qualitative method. A multilevel index system based on attribute mathematical recognition is proposed. The upper-level includes five indexes, namely efficiency, accessibility, comfort, safety and traffic calming, which are further divided into the lower-level indexes. The indexes' weights are determined by variation coefficient method and the campus traffic level was identified by the confidence rules to avoid unreasonable estimation. A case study of Sun Yat-sen University East Campus is presented, whose travel environment was just passable in 2007 but greatly improved since 2009 after the road reconstruction and traffic regulations suggested by the authors. The evaluation accords with the opinion poll and the method is practical, rational and suitable for comparison.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411773
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Supplemental Notes:
- Copyright © 2011 ASCE
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Lai, Xinjun
- Li, Jun
- Yu, Zhi
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Conference:
- First International Conference on Transportation Information and Safety (ICTIS)
- Location: Wuhan , China
- Date: 2011-6-30 to 2011-7-2
- Publication Date: 2011
Language
- English
Media Info
- Media Type: Digital/other
- Features: References; Tables;
- Pagination: pp 987-992
- Monograph Title: ICTIS 2011: Multimodal Approach to Sustained Transportation System Development: Information, Technology, Implementation
Subject/Index Terms
- TRT Terms: Highway traffic control; Level of service; Mathematical models; Traffic congestion; Universities and colleges
- Geographic Terms: China
- Subject Areas: Highways; Operations and Traffic Management; I70: Traffic and Transport; I73: Traffic Control;
Filing Info
- Accession Number: 01471163
- Record Type: Publication
- ISBN: 9780784411773
- Files: TLIB, TRIS, ASCE
- Created Date: Feb 1 2013 10:06AM